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        "author": "Andreas Paepcke",
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        "description": "# The pymysql_utils module\n\nThe pymysql_utils package makes interaction with MySQL from\nPython more pythonic than its underlying package `mysqlclient`\n(formerly MySQL-python), or the alternative underlying package\n`pymysql`. Either mysqlclient, or pymysql may be chosen as the\nfoundation of pymysql_utils.\n\nConvenience methods for common MySQL operations, such as\nmanaging tables, insertion, updates, and querying are also\navailable. Query results are iterators with `next()` and\n`nextall()` methods\n\nTested on:\n\n|  OS                 | MySQL        | Python |\n| ------------------- | ------------ | ------ |\n| macos               |  mysql 8.0   |   3.7  |\n| macos               |  mysql 8.0   |   2.7  |\n| ubuntu 16.04 Xenial |  mysql 5.7   |   3.6  |\n| ubuntu 16.04 Xenial |  mysql 5.7   |   2.7  |\n\n## Quickstart\n\n```python\nfrom pymysql_utils.pymysql_utils import MySQLDB\n\n# Create a database instance. For one approach to\n# dealing with password-protected databases, see\n# the Tips Section below.\n\ndb = MySQLDB(user='myName', db='myDb')\nmySchema = {\n  'col1' : 'INT',\n  'col2' : 'varchar(255)',\n  }\n\ndb.createTable('myTable', mySchema)\n\n# Fill the table:\ncolNames  = ['col1','col2']\ncolValues = [(10, 'row1'),\n             (20, 'row2'),\n             (30, 'row3'),             \n            ]\n\ndb.bulkInsert('myTable', colNames, colValues)\n\n# Result objects are iterators:\nfor result in db.query('SELECT col2 FROM myTable ORDER BY col1'):\n    print(result)\n\n# row1\n# row2\n# row3\n\n\n```\n## A Bit More Detail\n\nThe database connection is encapsulated in an instance of\n`MySQLDB`. This instance can maintain multiple queries\nsimulataneously. Each query result is an `iterator` object\nfrom which result tuples can be retrieved one by one,\nusing `next()`, or all at once using `nextall()`. Here is\nan example of multiple queries interleaved. Assume the\nabove table `myTable` is populated in the database.\n\n```python\n\nquery_str1 = '''\n             SELECT col2\n               FROM myTable\n              ORDER BY col1\n             '''\n\nquery_str2 = '''\n             SELECT col2\n               FROM myTable\n              WHERE col1 = 20\n                 OR col1 = 30\n           ORDER BY col1\n           '''\nresults1   = db.query(query_str1)\nresults2   = db.query(query_str2)\n\n# Result objects know their total result count:\nresults1.result_count()\n# --> 3\n\nresults2.result_count()\n# --> 2\n\n# The db object can retrieve the result count\n# by the query string:\ndb.result_count(query_str1)\n# --> 3\n\nresults1.next()\n# --> 'row1'\n\nresults2.next()\n# --> 'row2'\n\nresults1.next()\n# --> 'row2'\nresults2.next()\n# --> 'row3'\n\nresults1.next()\n# --> 'row3'\n\nresults2.next()\n# --> raises StopIteration\n\nresults2.result_count()\n# --> raises ValueError: query exhausted.\n\n```\n## Tips:\n\n* Many methods return a two-tuple that includes a list of warnings, and a\n  list of errors.\n* Check the [in-code documentation](http://htmlpreview.github.com/?https://github.com/paepcke/pymysql_utils/blob/gh-pages/docs/pymysql_utils.m.html) \n  for all available methods.\n* A number of frequent SQL operations can conveniently be accomplised\n  via dedicated methods: `close`, `createTable`, `dropTable`, `insert`,\n  `bulkInsert`, `truncateTable`, and `update`.\n\n  These, or other operations can also be accomplished by using\n  `execute()` to submit arbitrary SQL\n* A useful idiom for queries known to return a single result,\n  such as a count:\n\n    `db.query('...').next()`\n* The underlying `mysqlclient` package does not expose the MySQL 5.7+\n  *login-path* option. So the `MySQLDB()` call needs to include the\n  password if one is required. One way to avoid putting passwords into\n  your code is to place the password into a file in a well protected\n  directory, such as `~/.ssh/mysql`. Then read the password from there.\n\n## Installation\n\n\n```bash\n# Possibly in a virtual environment:\n\npip install pymysql_utils\npython setup.py install\n\n# Testing requires a bit of prep in the local MySQL:\n# a database 'unittest' must be created, and a user\n# 'unittest' without password must have permissions:\n#\n#\n# CREATE DATABASE unittest;   \n# CREATE USER unittest@localhost;\n# GRANT SELECT, INSERT, UPDATE, DELETE,\n#       CREATE, DROP, ALTER\n#    ON `unittest`.* TO 'unittest'@'localhost';\n\n# The unittests give these instructions as well.\n\n# python setup.py test\n```\n## Selecting Python-only or C-Python\n\nBy default pymysql_utils uses `mysqlclient`, and therefore a C-based\nAPI to MySQL servers. Occasionally it may be desirable to use a\nPython only solution. You may force pymysql_utils to use the\n`pymysql` library instead of `mysqlclient`.\n\nOne reason for forcing Python only is a known incompatibility between\nopenssl 1.1.1[a,b,c] and mysqlclient (as of Jul 29, 2017).\n\nTo have pymysql_utils use the Python-only pymysql library, do this:\n1. Copy `pymysql_utils/pymysql_utils_SAMPLE.cnf` to\n`pymysql_utils/pymysql_utils.cnf` \n2. Inside this new config file, change\n```bash\n\n       FORCE_PYTHON_NATIVE = False\n   to\n       FORCE_PYTHON_NATIVE = True\n```\n\n\n\n",
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